{"id":"W2560880272","doi":"10.1002/ecy.1712","title":"Predators modify biogeographic constraints on species distributions in an insect metacommunity","year":2016,"lang":"en","type":"article","venue":"Ecology","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Metacommunity; Predation; Ecology; Biology; Biological dispersal; Predator; Occupancy; Patch dynamics; Herbivore; Habitat; Population","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002582447,0.00009220306,0.0001372146,0.00007577764,0.0002103089,0.000004795733,0.0001829844,0.0001005994,0.003424298],"category_scores_gemma":[0.0001352317,0.00006721821,0.0000332836,0.0001791393,0.001129876,0.000122634,0.0001275584,0.0001251442,0.0003715264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001225875,"about_ca_system_score_gemma":0.000008788496,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004325173,"about_ca_topic_score_gemma":0.02188926,"domain_scores_codex":[0.9991179,0.0002457761,0.0001544066,0.0001904988,0.00005320883,0.0002381958],"domain_scores_gemma":[0.9993891,0.0003061217,0.00005002789,0.0001991438,0.000006773258,0.0000488758],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001048263,0.0001960919,0.9879103,6.854729e-7,0.00001276679,0.000004597039,0.0001159439,0.00004476606,0.0006511367,0.01015219,0.0001367918,0.0007642963],"study_design_scores_gemma":[0.0003303853,0.0002065004,0.9900024,0.000002460986,0.000005930198,0.000002345566,0.00006409781,0.00006334273,0.000104794,0.008818313,0.0003131577,0.00008630307],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912136,0.000004704812,0.00016839,0.0009598476,0.0001485998,0.0001241435,0.00007318287,0.00002989268,0.007277702],"genre_scores_gemma":[0.9995311,0.0000349144,0.00009468429,0.0001593691,0.000007828608,0.00003970391,0.00001711879,0.000003750097,0.0001115113],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02184601,"threshold_uncertainty_score":0.9974867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02340877062194356,"score_gpt":0.2487783641881549,"score_spread":0.2253695935662113,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}